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Titlebook: Machine Learning Contests: A Guidebook; Wang He,Peng Liu,Qian Qian Book 2023 Posts & Telecom Press 2023 machine learning.advertising algor

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樓主: Magnanimous
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發(fā)表于 2025-3-28 16:22:25 | 只看該作者
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發(fā)表于 2025-3-28 19:18:00 | 只看該作者
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發(fā)表于 2025-3-29 02:41:27 | 只看該作者
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發(fā)表于 2025-3-29 03:50:21 | 只看該作者
45#
發(fā)表于 2025-3-29 11:03:50 | 只看該作者
Case Study: Global Urban Computing AI Challengen in Fig. 10.1) as a real-world case for issues related to time series analysis, mainly including question understanding, data exploration, feature engineering, and model training. In particular, in the part of the case study, besides providing a general idea for solving problems, what is more impor
46#
發(fā)表于 2025-3-29 13:18:04 | 只看該作者
Case Study: Corporación Favorita Grocery Sales ForecastingFavorita Grocery Sales Forecasting shown in Fig. 11.1. This is also the second actual practice for issues related to series analysis. Similarly, the content also mainly includes problem understanding, data exploration, feature engineering, and model training. As an international competition topic, t
47#
發(fā)表于 2025-3-29 18:12:59 | 只看該作者
48#
發(fā)表于 2025-3-29 21:15:27 | 只看該作者
49#
發(fā)表于 2025-3-30 02:41:02 | 只看該作者
Case Study: TalkingData AdTracking Fraud Detection Challengeata AdTracking Fraud Detection Challenge (as shown in Fig. 14.1), which will also be used as the second practical case for issues related to computational advertising. The main content includes competition question understanding, data exploration, feature engineering, model training, and competition
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發(fā)表于 2025-3-30 08:08:07 | 只看該作者
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